On the semantics of theory change: arbitration between old and new information
PODS '93 Proceedings of the twelfth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Integration of weighted knowledge bases
Artificial Intelligence
A general formal framework for schema transformation
Data & Knowledge Engineering - Special issue on ER '97
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Logic-based techniques in data integration
Logic-based artificial intelligence
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Merging structured text using temporal knowledge
Data & Knowledge Engineering
Possibilistic Merging and Distance-Based Fusion of Propositional Information
Annals of Mathematics and Artificial Intelligence
Causal Maps: Theory, Implementation, and Practical Applications in Multiagent Environments
IEEE Transactions on Knowledge and Data Engineering
The Journal of Machine Learning Research
Computers and Operations Research
Automatic generation of document semantics for the e-science knowledge grid
Journal of Systems and Software - Special issue: Selected papers from the 11th Asia Pacific software engineering conference (APSEC 2004)
A knowledge-based approach to merging information
Knowledge-Based Systems
An argumentation framework for merging conflicting knowledge bases
International Journal of Approximate Reasoning
Semantic representation of scientific documents for the e-science Knowledge Grid
Concurrency and Computation: Practice & Experience - Second International Conference on Semantics, Knowledge and Grid (SKG2006)
Logic programs for consistently querying data integration systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Using Fuzzy Cognitive Maps for Knowledge Management in a Conflict Environment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Importance degree and difference degree of keywords in different topics have been computed by the weights in Element Fuzzy Cognitive Maps (E-FCMs). Logic "and" operation is introduced to roughly evaluate the similarities between mass E-FCMs in order to form similar communities of E-FCMs. Based on the weights computing and the logic "and" operation, an E-FCMs-based knowledge merging algorithm is proposed to inspect the noisy and the redundancy information hidden in the original E-FCMs belonging to one similar community. Shannon entropy is employed as an indicator to measure the loss of textual information during the merging process of E-FCMs. The merging algorithm and the indicator provide a concise representation of text knowledge that can be used in understanding-based text automatic classification and clustering, as well as relevant knowledge aggregation and integration. The proposed algorithm has very good application prospects in the fields of e-Science knowledge gird and e-Learning.